Existing information-theoretic frameworks based on maximum entropy network ensembles are not able to explain the emergence of heterogeneity in complex networks. Here, we fill this gap of knowledge by developing a classical framework for networks based on finding an optimal trade-off between the information content of a compressed representation of the ensemble and the information content of the actual network ensemble. In this way not only we introduce a novel classical network ensemble satisfying a set of soft constraints but we are also able to calculate the optimal distribution of the constraints. We show that for the classical network ensemble in which the only constraints are the expected degrees a power-law degree distribution is opti...
Here we present the entropic dynamics formalism for networks. That is, a framework for the dynamics ...
Abstract- An information theoretic upper bound on the information flow in discrete memoryless net-wo...
Barabási–Albert’s “Scale Free” model is the starting point for much of the accepted theory of the ev...
Abstract. Complex networks are characterized by highly heterogeneous distributions of links, often p...
We analyze complexity in spatial network ensembles through the lens of graph entropy. Mathematically...
We analyze complexity in spatial network ensembles through the lens of graph entropy. Mathematically...
The analysis of networks characterized by links with heterogeneous intensity or weight suffers from ...
The analysis of networks characterized by links with heterogeneous intensity or weight suffers from ...
Abstract. The analysis of networks characterized by links with het-erogeneous intensity or weight su...
This work deals with networks of agents that exchange information under communication constraints. A...
This work deals with networks of agents that exchange information under communication constraints. A...
This work deals with networks of agents that exchange information under communication constraints. A...
This work deals with networks of agents that exchange information under communication constraints. A...
Maximum entropy null models of networks come in different flavors that depend on the type of constra...
An information theoretic upper bound on the information flow in discrete memoryless networks is foun...
Here we present the entropic dynamics formalism for networks. That is, a framework for the dynamics ...
Abstract- An information theoretic upper bound on the information flow in discrete memoryless net-wo...
Barabási–Albert’s “Scale Free” model is the starting point for much of the accepted theory of the ev...
Abstract. Complex networks are characterized by highly heterogeneous distributions of links, often p...
We analyze complexity in spatial network ensembles through the lens of graph entropy. Mathematically...
We analyze complexity in spatial network ensembles through the lens of graph entropy. Mathematically...
The analysis of networks characterized by links with heterogeneous intensity or weight suffers from ...
The analysis of networks characterized by links with heterogeneous intensity or weight suffers from ...
Abstract. The analysis of networks characterized by links with het-erogeneous intensity or weight su...
This work deals with networks of agents that exchange information under communication constraints. A...
This work deals with networks of agents that exchange information under communication constraints. A...
This work deals with networks of agents that exchange information under communication constraints. A...
This work deals with networks of agents that exchange information under communication constraints. A...
Maximum entropy null models of networks come in different flavors that depend on the type of constra...
An information theoretic upper bound on the information flow in discrete memoryless networks is foun...
Here we present the entropic dynamics formalism for networks. That is, a framework for the dynamics ...
Abstract- An information theoretic upper bound on the information flow in discrete memoryless net-wo...
Barabási–Albert’s “Scale Free” model is the starting point for much of the accepted theory of the ev...